Data Science With R Training
Getin Technologies Data Science with R Training course takes you on a transformative journey. We’ll dive into the ins and outs of statistical analysis, machine learning, and data visualization using the powerful R programming language.
- Classroom
- Mock interviews
- 100% Placement SupportResume and interview training
- Hands-on projectsReal-world practice, not slides
- Industry trainersDirect interaction in class
- Mock interviewsPanel practice before the real one
Overview
Unleash the power of data with Getin Technologies Data Science with R Training, shaping tomorrows insights today
Getin Technologies Data Science with R Training course takes you on a transformative journey. We’ll dive into the ins and outs of statistical analysis, machine learning, and data visualization using the powerful R programming language. This comprehensive program is designed to equip you with the essential skills and practical knowledge needed to thrive in the dynamic field of data science. Through interactive lectures, hands-on projects, and real-world case studies , you’ll master key concepts like exploratory data analysis, predictive modeling, and data manipulation. Our expert instructors bring years of industry experience to guide you through the complexities of data science. They’ll provide personalized mentorship and support every step of the way , fostering a collaborative learning environment where innovation can flourish.
Whether you’re a beginner or a seasoned professional, our training caters to all skill levels. Get ready to embark on an enriching learning experience and elevate your data science expertise.
Skills you will build
- Mastering the Fundamentals of R Programming
- Exploratory Data Analysis (EDA) Techniques
- Statistical Analysis with R
- Machine Learning Fundamentals
Syllabus
Data Science With R Training Syllabus
- 1
R programming basics
- Installing R and RStudio
- Vectors, lists and data frames
- Control flow and functions
- Importing and exporting data
- 2
Data wrangling
- dplyr and tidyr
- Handling missing values
- Reshaping and merging data
- Dates and strings
- 3
Visualization
- Base R and ggplot2
- Charts for distributions and relationships
- Dashboards with Shiny basics
- 4
Statistics
- Descriptive statistics
- Probability distributions
- Hypothesis testing
- Correlation and regression
- 5
Machine learning
- Linear and logistic regression
- Decision trees and random forests
- Clustering and model evaluation
- Time series forecasting
- 6
Projects and interview preparation
- Customer churn prediction
- Stock price forecasting
- Interview preparation
Why this course
Key Features of Data Science With R Training
Data Science With R Placement
Our Data Science with R program ensures job placement assistance, connecting you with top industry recruiters for a successful career.
Industry Expert Trainers
Learn from experienced industry experts who bring real-world insights and advanced techniques to help you excel in data science.
End-to-End Proficiency
Gain end-to-end proficiency in data science, from data collection to analysis, model building, and implementation for impactful results.
Real-world Project
Work on real-world projects to apply your knowledge, gaining hands-on experience and building a solid portfolio for employers.
Flexibility
Our programs offer flexible learning options, allowing you to study at your own pace and balance your professional commitments.
Industry Based Syllabus
Our syllabus is designed in collaboration with industry professionals, ensuring you acquire relevant and up-to-date skills for the job market.
Hands-on projects
Our Realtime Projects in Data Science With R Training
- 01
Predicting Customer Churn in Telecom
This project involves analyzing customer data to predict churn using machine learning techniques in R. You’ll clean and visualize data, apply classification models like logistic regression and random forests, and evaluate model performance to help telecom companies retain customers.
- 02
Forecasting Stock Price with Time Series Analysis
Using historical stock market data, this project applies time series forecasting methods such as ARIMA and exponential smoothing in R. You’ll preprocess data, perform exploratory analysis, build predictive models, and assess their accuracy to predict future stock trends effectively.
- 03
Sentiment Analysis of Social Media Data
This project focuses on analyzing tweets or reviews using Natural Language Processing (NLP) in R. You’ll clean text data, apply sentiment analysis techniques, use machine learning models like Naïve Bayes or deep learning, and visualize insights to understand public opinions on products or events.
What you will learn
Objectives of Data Science With R Training in Getin Technologies
- Mastering the Fundamentals of R Programming : Understand the basic structure and syntax of the R programming language. Learn how to work with different data types and create functions in R. Explore techniques for data manipulation and preprocessing in R. Discover ways to clean and transform your data, preparing it for analysis. Dive into advanced R programming concepts like control structures, loops, and error handling. Expand your skills to handle more complex programming tasks.
- Exploratory Data Analysis (EDA) Techniques: Develop proficiency in exploratory data analysis. Learn to understand data distributions, patterns, and relationships within your datasets. Leverage R’s built-in plotting functions and libraries like ggplot2 to create effective data visualizations. Uncover insights by summarizing and interpreting key statistical measures.
- Statistical Analysis with R: Explore different statistical techniques and tests using the R programming language. Learn how to apply descriptive and inferential statistics to analyze relationships and make predictions from data. Understand how to use R for regression analysis, ANOVA, and other statistical tests.
- Machine Learning Fundamentals: Dive into the b asics of machine learning algorithms and techniques using R. Build and evaluate predictive models for tasks like classification, regression, and clustering. Explore popular machine learning algorithms in R, such as decision trees, random forests, and support vector machines.
- Apply your R programming skills and machine learning techniques to real-world data sets and situations. Work on hands-on projects and case studies to solve data science problems using R. Gain practical experience in developing complete data science solutions, from data preprocessing to model evaluation and deployment.
Eligibility
Who can join this course
Freshers (2023 - 2025) Passouts
EligibleBE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom
Not EligibleDiploma
Year Gap (2010 - 2022 Passout)
EligibleBE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom
Not EligibleDiploma
Experienced
Share your resume to Our WhatsApp +91 8925831826 . Our Placement Team will Validate your Profile and get back to you shortly.
More about this course
What is Data Science With R?
Data Science with R refers to the application of the R programming language and its associated libraries and tools in the field of data science. R is a powerful open-source programming language and environment widely used for statistical analysis, data visualization, and machine learning tasks. Data Science with R involves tasks such as data cleaning, exploratory data analysis, predictive modeling, and communication of results through visualizations and reports. R’s rich ecosystem of packages and its flexibility make it a popular choice among data scientists for analyzing and interpreting complex datasets to derive actionable insights and make data-driven decisions.
More about this course
Job Opportunities For Data Science With R
After completing the Data Science with R training in Getin Technologies , individuals can pursue various job opportunities in the rapidly expanding field of data science. Some potential roles include:
- Data Scientist: Analyze large datasets, create predictive models, and find useful insights using R programming and statistical methods.
- Data Analyst: Clean, process, and visualize data to uncover trends and patterns , supporting business decisions with R-based analysis.
- Machine Learning Engineer: Develop and deploy machine learning models using R f or tasks like classification, regression, and clustering in diverse applications.
- Business Intelligence Analyst: Use R for data mining, trend analysis, and creating interactive dashboards and reports to help organizations make data-driven decisions.
- Data engineer: Designs, implements, and maintains data pipelines and infrastructure to process and store large amounts of data. They use R for data manipulation and analysis.
- Research analyst: Conducts statistical analysis and research using R to support academic or industry research projects in fields like economics, healthcare, or social sciences.
- Quantitative analyst: Applies advanced statistical and mathematical models in finance, risk management, or algorithmic trading using R programming for quantitative analysis.
- Data visualization specialist: Creates visually appealing data visualizations and interactive dashboards using R packages like ggplot2 and shiny to effectively communicate insights.
- Marketing Analyst: Examine customer habits, industry tendencies, and promotional results using R programming to refine marketing strategies and boost business growth.
- Consultant/Freelancer: Provide data science consulting services or work as a freelance data scientist, sharing expertise in R coding and statistical analysis to assist clients across diverse sectors.
FAQs
Data Science With R questions answered
Can I attend classes online?
Many courses are available online as well as in the classroom. Ask a counsellor to confirm the options for this course.
Do you offer a free demo class?
Yes. Book a free demo class and a counsellor will help you pick a batch.
What are the course fees?
Fees depend on the course and training mode. Call us on +91 89258 31826 for current fees.
What placement support do you provide?
100% Placement Support: resume preparation, interview training and mock interviews, plus connections to companies hiring in your field.
Ready to start?
Book your free Data Science With R demo class
See how we teach before you join. A counsellor will help you pick a batch.